Measurement Methods and Technologies for Indoor Assisted Living
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Internet of Things".
Deadline for manuscript submissions: 15 February 2027 | Viewed by 861
Editors
Interests: data acquisition systems; compressed sensing; IoT; measurement; signal processing
Special Issues, Collections and Topics in MDPI journals
Interests: design, development, and validation of wearable systems and algorithms for monitoring physiological parameters in clinical, occupational, and sports settings
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The evolution of measurement systems for indoor assisted living has become a cornerstone for enhancing the autonomy, safety and well-being of individuals, particularly within aging populations and those with disabilities. This Special Issue seeks to explore the latest advancements in sensor fusion, artificial intelligence (AI) and innovative measurement methodologies that enable real-time health and environmental monitoring in ambient assisted living environments. Key topics provide critical support for individuals with cognitive and physical impairments. This Special Issue addresses the application of machine learning and semantic segmentation techniques for indoor localization and obstacle classification, facilitating enhanced mobility and navigation within home environments, thereby reducing the risk of accidents and improving overall safety. Furthermore, the role of tele-rehabilitation and tele-monitoring systems in supporting the continuum of care represent a central theme, with particular emphasis on how these technologies enable remote health assessments, personalized interventions and continuous patient monitoring. The Issue provides a platform for discussing the challenges and opportunities associated with the integration of these technologies into comprehensive, user-centric solutions, by reflecting recent developments in measurement systems for aging, disability support and home-based care. By fostering interdisciplinary dialog, the Special Issue aims to highlight the potential of measurement systems and AI-driven innovations to improve the quality of life and rehabilitation outcomes for individuals in indoor assisted living settings.
Topics of interest include, but are not restricted to, the following:
- Measurement methods in medical environment
- Sensor fusion and AI-integrated solutions for ambient assisted living
- Signal processing for physiological and health monitoring
- Machine learning and semantic segmentation for indoor localization and obstacle classification
- Tele-rehabilitation and tele-monitoring for continuum of care
- Privacy-preserving and unobtrusive sensing
- Wearable and contactless monitoring
- Activity recognition
- Human–robot interaction
- Clinical validation
Dr. Grazia Iadarola
Dr. Chiara Romano
Guest Editors
Manuscript Submission Information
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Keywords
- indoor assisted living
- sensor fusion
- artificial intelligence
- health and environmental monitoring
- tele-rehabilitation and tele-monitoring
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